Filippos Fotiadis
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Filippos Fotiadis

Journals

  1. F. Fotiadis, A. Kanellopoulos, K. G. Vamvoudakis, U. Topcu, “Deception in Data-Driven Linear-Quadratic Control,” submitted.

  2. N. Tukenmez, F. Fotiadis, J. M. Magalhães Júnior, K. G. Vamvoudakis, S. Bogosyan, “Intermittent Learning for Trajectory Tracking Control with an Experimental Validation on Microdrones,” submitted.

  3. F. Fotiadis, K. G. Vamvoudakis, “Input-Output Data-Driven Sensor Selection for Cyber-Physical Systems,” submitted.

  4. F. Fotiadis, K. G. Vamvoudakis, “A Physics-Informed Learning Framework to Solve the Infinite-Horizon Optimal Control Problem,” submitted.

  5. S. Niu, A. Bouland, H. Wang, F. Fotiadis, A. Kurdila, A. L'Afflitto, S. T. Paruchuri, K. G. Vamvoudakis, “Convergence Rates of Online Critic Value Function Approximation in Native Spaces,” to appear in IEEE Control Systems Letters, 2024.

  6. F. Fotiadis, A. Kanellopoulos, K. G. Vamvoudakis, J. Hugues, “On the Effect of Clock Offsets and Quantization on Learning-based Adversarial Games,” Automatica, vol. 167, paper 111762, 2024.

  7. F. Fotiadis, G. A. Rovithakis, “Input-Constrained Prescribed Performance Control for High-order MIMO Uncertain Nonlinear Systems via Reference Modification,” IEEE Transactions on Automatic Control, vol. 69, no. 5, pp. 3301-3308, 2024.

  8. F. Fotiadis, K. G. Vamvoudakis, Z.-P. Jiang, “Data-Driven Actuator Allocation for Actuator Redundant Systems,” IEEE Transactions on Automatic Control, vol. 69, no. 4, pp. 2249-2264, 2024.

  9. F. Fotiadis, K. G. Vamvoudakis, “Learning-based Actuator Selection for Increased Attack Resilience of Uncertain Systems,” Automatica, vol. 159, paper 111332, 2024.

  10. F. Fotiadis, K. G. Vamvoudakis, “Recursive Reasoning with Reduced Complexity and Intermittency for Non-Equilibrium Learning in Stochastic Games,” IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 11, pp. 8467-8481, 2023.

  11. F. Fotiadis, K. G. Vamvoudakis, “Concurrent Receding Horizon Control and Estimation against Stealthy Attacks,” IEEE Transactions on Automatic Control, vol. 68, no. 6, pp. 3712-3719, 2023.

  12. K. G. Vamvoudakis, F. Fotiadis, A. Kanellopoulos, N.-M. T. Kokolakis, “Nonequilibrium Dynamical Games: A Control Systems Perspective,” Annual Reviews in Control, vol. 53, pp. 6-18, 2022.

  13. F. Fotiadis, G. A. Rovithakis, “Prescribed Performance Control for Discontinuous Output Reference Tracking,” IEEE Transactions on Automatic Control, vol. 66, no. 9, pp. 4409-4416, 2021.

  14. F. Fotiadis, K. G. Vamvoudakis, “Detection of Actuator Faults for Continuous-Time Systems with Intermittent State Feedback,” Systems and Control Letters, vol. 152, pp. 104938, 2021.

Conferences

  1. F. Fotiadis, K. G. Vamvoudakis, “Input-Output Data-Driven Sensor Selection,” to appear in IEEE Conference on Decision and Control, Milan, Italy, 2024.

  2. F. Fotiadis, G. A. Rovithakis, K. G. Vamvoudakis, “Embedding Learning-based Optimal Controllers with Assured Safety,” to appear in IEEE Conference on Decision and Control, Milan, Italy, 2024.

  3. A. Kanellopoulos, F. Fotiadis, K. G. Vamvoudakis, H. Sandberg, “Unpredictable Switching for Cyber-Physical Security Against Worst-case Attackers,” to appear in IEEE Conference on Decision and Control, Milan, Italy, 2024.

  4. N. Tukenmez, F. Fotiadis, J. M. Magalhães Júnior, K. G. Vamvoudakis, S. Bogosyan, “Reward Drops in Learning-based Control with an Experimental Validation on Microdrones,” to appear in IEEE Conference on Decision and Control, Milan, Italy, 2024.

  5. F. Fotiadis, A. Kanellopoulos, K. G. Vamvoudakis, J. Hugues, “Poisoning Actuation Attacks against the Learning of an Optimal Controller,” to appear in American Control Conference, Toronto, Canada, 2024.

  6. S. Athalye, F. Fotiadis, K. G. Vamvoudakis, J. Hugues, “An Output Feedback Game-Theoretic Approach for Defense against Stealthy GNSS Spoofing Attacks,” to appear in American Control Conference, Toronto, Canada, 2024.

  7. J. M. Magalhães Júnior, L. Zhai, F. Fotiadis, A. Kanellopoulos, K. G. Vamvoudakis, J. Hugues, “Real-Time and Experimental Reactive and Proactive Defense in a Multi-Agent Scenario,” Proc. AIAA SciTech Forum, Orlando, Florida, 2024.

  8. F. Fotiadis, K. G. Vamvoudakis, “A Physics-Informed Neural Networks Framework to Solve the Infinite-Horizon Optimal Control Problem,” Proc. IEEE Conference on Decision and Control, pp. 6008-6013, Marina Bay Sands, Singapore, 2023.

  9. F. Fotiadis, K. G. Vamvoudakis, “Game-Theoretic Deception Methods for Perfectly and Bounded Rational Stealthy Attackers,” Proc. IEEE Conference on Decision and Control, pp. 7956-7963, Marina Bay Sands, Singapore, 2023.

  10. F. Fotiadis, G. A. Rovithakis, “Input-Constrained Prescribed Performance Control for SISO Nonlinear Systems via Reference Relaxation,” Proc. Mediterranean Conference on Control and Automation, pp. 777-782, Limassol, Cyprus, 2023.

  11. K. G. Vamvoudakis, F. Fotiadis, J. P. Hespanha, R. Chinchilla, G. Yang, M. Liu, J. S. Shamma, L. Pavel, “Game Theory for Autonomy: From Min-Max Optimization to Equilibrium and Bounded Rationality Learning,” Proc. American Control Conference, pp. 4363-4380, San Diego, CA, 2023.

  12. L. Zhai, F. Fotiadis, K. G. Vamvoudakis, J. Hugues, “Timing-Aware Resilience of Data-driven Off-policy Reinforcement Learning for Discrete-Time Systems,” Proc. American Control Conference, pp. 2782-2787, San Diego, CA, 2023.

  13. L. Zhai, A. Kanellopoulos, F. Fotiadis, K. G. Vamvoudakis, J. Hugues, “A Modular Approach to Verification of Learning Components in Cyber-Physical Systems,” Proc. AIAA SciTech, National Harbor, MD, 2023.

  14. F. Fotiadis, K. G. Vamvoudakis, Z.-P. Jiang, “Data-Based Actuator Selection for Optimal Control Allocation,” Proc. IEEE Conference on Decision and Control, pp. 4674-4679, Cancun, Mexico, 2022.

  15. F. Fotiadis, A. Kanellopoulos, K. G. Vamvoudakis, J. Hugues, “Impact of Sensor and Actuator Clock Offsets on Reinforcement Learning,” Proc. American Control Conference, pp. 2669-2674, Atlanta, GA, 2022.

  16. L. Zhai, A. Kanellopoulos, F. Fotiadis, K. G. Vamvoudakis, J. Hugues, “Towards Intelligent Security for Unmanned Aerial Vehicles: A Taxonomy of Attacks, Faults, and Detection Mechanisms,” Proc. AIAA SciTech Forum, 2022.

  17. F. Fotiadis, K. G. Vamvoudakis, “Learning-based Actuator Placement for Uncertain Systems,” Proc. IEEE Conference on Decision and Control, pp. 90-95, Austin, TX, 2021.

  18. F. Fotiadis, C. Verginis, K. G. Vamvoudakis, U. Topcu, “Assured Learning-based Optimal Control subject to Timed Temporal Logic Constraints,” Proc. IEEE Conference on Decision and Control, pp. 750-756, Austin, TX, 2021.

  19. A. Kanellopoulos, F. Fotiadis, C. Sun, Z. Xu, K. G. Vamvoudakis, U. Topcu, W. E. Dixon, “Temporal Logic-based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking,” Proc. IEEE Conference on Decision and Control, pp. 1263-1268, Austin, TX, 2021.

  20. F. Fotiadis, K. G. Vamvoudakis, “Recursive Reasoning for Bounded Rationality in Multi-Agent Non-Equilibrium Play Learning Systems,” Proc. IEEE Conference on Control Technology and Applications, pp. 741-746, San Diego, CA, 2021.

  21. A. Kanellopoulos, F. Fotiadis K. G. Vamvoudakis, V. Gupta, “A Meta-Learning and Bounded Rationality Framework for Repeated Games in Adversarial Environments,” Proc. IEEE Conference on Decision and Control, pp. 1640-1645, Jeju Island, Republic of Korea, 2020.

  22. F. Fotiadis, A. Kanellopoulos, K. G. Vamvoudakis, “Constrained Differential Games for Secure Decision-Making against Stealthy Attacks,” Proc. American Control Conference, pp. 4658-4663, Denver, CO, 2020.

  23. F. Dimeas, F. Fotiadis, D. Papageorgiou, A. Sidiropoulos, Z. Doulgeri, “ Towards Progressive Automation of Repetitive Tasks Through Physical Human-Robot Interaction”, Human Friendly Robotics: 10th International Workshop, pp. 151-163, 2019.